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About the role We are looking for a Product Security Manager to lead a team focused on cloud, data, and AI security within our Product Security organization. This role is responsible for securing our cloud infrastructure, protecting sensitive data, and enabling safe adoption of AI across our products and internal systems. You will work closely with engineering, product, and data teams to ensure that modern systems, including AI-powered features, are designed and operated securely. While cloud and data security are core pillars, AI security is an increasingly critical area of focus. You will he
Key Responsibilities
- 1Own the security posture of cloud infrastructure, data systems, and AI-enabled applications across product surfaces
- 2Influence data, ML, and infrastructure team roadmaps and drive alignment on security priorities without direct authority
- 3Partner with engineering and product teams to embed security into system design and development workflows
- 4Lead and grow a team of security engineers, setting a high bar for technical execution, ownership, and impact
- 5Define and execute strategy for securing cloud-native architectures and sensitive data at scale
- 6Establish guardrails and secure design patterns for AI adoption, including safe integration of third-party and internal AI systems
- 7Identify and mitigate risks related to AI systems, including prompt injection, data leakage, and misuse of models or APIs
- 8Build scalable controls and automation around identity, access, encryption, and data protection
- 9Operate effectively within a POD model, shifting focus across security domains based on business needs
- 10Lead and support response efforts for security incidents related to cloud, data, and AI risks
Requirements
- 5+ years of experience in security engineering, with significant experience in cloud and/or data security
- 2+ years of experience managing or leading security engineers
- Strong understanding of cloud platforms (AWS, GCP), Infrastructure as Code (IaC), and modern infrastructure patterns
- Experience designing or securing systems that handle sensitive or regulated data
- Experience securing or evaluating AI/ML systems, or demonstrated ability to operate effectively in ambiguous and emerging security domains
- Strong technical judgment and the ability to go deep in architecture and security discussions when needed
- Experience operating in fast-paced, product-driven environments with shifting priorities
- Strong communication skills with the ability to translate security risks into business impact
Perks & Benefits
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